Overview

AISquare is governance infrastructure for agentic systems. It turns each agent run into a governed, explainable decision you can observe, defend, and improve. The rest of these docs follow one spine, and this page walks it end to end.

Govern your agents, then run the Trust Loop on every decision (Understand, Prevent, Fix, Remember), so that Collective Intelligence compounds and your teams ship it as Studios.

Why this exists

As teams put agents into production, one problem shows up everywhere: the system makes decisions that are hard to explain, audit, or trust. That gap carries real cost.

• Regulatory. No durable record of what the agent decided or why.
• Legal. No way to reconstruct and defend an outcome after the fact.
• Operational. Black-box failures you cannot debug or keep from recurring.

AISquare closes the gap by adding a system of record for AI decisions, the same way a financial system keeps a ledger of transactions. Every action and the reasoning behind it becomes a durable, queryable artifact.

Govern

Governance starts by connecting your agents. You bring an agent from any framework, on any model, and AISquare records what it decides without changing how it runs. From there you get a tamper-evident decision record, decision-level policy enforcement, and a no-code interface for reviewing and replaying any run.

Connecting is the only setup step. Everything below operates on the decisions that flow in once an agent is connected.

The Trust Loop

Once decisions are flowing, you run the Trust Loop on each one. It is four moves, in order:

• Understand. See why the agent decided what it did, on the reasoning graph: the claims it made, the evidence behind them, and the inference chain that connected them.
• Prevent. Enforce policy at the decision point. A policy can allow, deny, escalate, or modify an action before it runs.
• Fix. Correct a decision in place when it is wrong, and keep the correction as part of the record.
• Remember. Persist every decision, intervention, and fix as enterprise memory the next run can draw on.

Collective Intelligence

Because every governed decision is remembered, the system does not start from zero each time. Decisions accumulate on a shared reasoning and memory graph, so corrections, evidence, and policy outcomes compound. Each agent and each team gets the benefit of every decision that came before. The equation behind it is AI + BI = CI: artificial intelligence, plus the brain intelligence of the humans in the loop, compounds into Collective Intelligence. It is not a stage between Govern and Studios; it is the layer all of them write into and draw on. Logging becomes learning, and a pilot becomes governed production.

Studios

Governed intelligence is the foundation; Studios are what your customers ship on top of it. A Studio packages experiences and resources, backed by the same reasoning graph and governance controls, into a product surface you deliver to users. The trust you built in the loop rides along into everything you ship.

Next steps